Abstract

The main focus of this study was to establish the feasibility of working with the intensity data of individual events of very heavy precipitation (50 mm or more in 12 hours or less) observed over the territory of Ukraine using remote sensing data (satellite data GPM IMERG), as well as verification of satellite data with ground station data (self-recording rain gauge data). The study consisted of processing data and maps – IMERG products, building tables and graphs based on them, calculating statistical indices and evaluating them. A total of 7 statistical parameters were involved, namely systematic error (bias), mean absolute error (e ̅), mean quadratic error (sound), Pearson correlation coefficient (r), factor 2 (FA2), factor 5 (FA5), Index of Agreement (IOA). The calculation of statistical parameters was carried out both for individual cases of very heavy precipitation and for daily precipitation totals. In both cases, unsatisfactory results were obtained. Statistical links between satellite and ground data series are insignificant, IMERG data, when assessing individual events of very heavy precipitation over the flat territories of Ukraine, demonstrate significant errors, which can be caused both by a discrepancy between the data itself for this kind of use, and by a shift in terms of coordinates, as well as time of data collection. Therefore, additional research is needed, the search for new and improvement of the proposed methodological approaches to the analysis of satellite information.

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